Entete 3

Methods for identifying 30 chronic conditions: application to administrative data



By Marcello Tonelli

From a list of 40 common chronic conditions, we identified validated algorithms that use ICD-9 CM/ICD-10 data for 30 of these [1]. Algorithms with both positive predictive value and sensitivity ≥70% were graded as “high validity”; those with positive predictive value ≥70% and sensitivity <70% were graded as “moderate validity”. Of the 40 morbidities, we identified 30 that could be identified with high to moderate validity. We then applied the algorithms to a large cohort of Alberta residents to show proof of concept. In our opinion, using a standard set of algorithms could facilitate the study and surveillance of multimorbidity across jurisdictions. We encourage other groups to consider using this scheme in their studies.

1. Marcello Tonelli et al. Methods for identifying 30 chronic conditions: application to administrative data. BMC Medical Informatics and Decision Making. 2015;15:31.

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